Work

Comparative Assessment of Differential Evolution-Based and Analytical Parameter Extraction for Single-Diode PV Models Using Measured Data

Year: 2026

Type: article

Abstract: This paper compares a single-diode model (SDM) parameter extraction method based on differential evolution (DE) with the analytical Villalva method, using a selected set of current-voltage (I-V) curves from the publicly available Sandia flash test dataset. The paper examines the methods’ applicability to experimentally measured curves from commercial photovoltaic (PV) modules. The SDM DE method analytically eliminates parameters from five to three, uses a Newton-Raphson solver for the implicit I-V characteristic, and minimises an objective function based on the error at the maximum power point. The results show that the proposed method achieves a lower root mean square error (RMSE) and normalized root mean square error (NRMSE) than the Villalva method across all tested curves, though at a higher computational cost.

Source: Advanced Engineering Letters

DOI: 10.46793/adeletters.2026.5.3.1

Authors: Damir Blažević, Tomislav Keser, Andrej Horvat, Damir Nožica

Institutions: University of Osijek, Klinički bolnički centar Osijek

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: hybrid

OpenAlex ID: W7214899992